Main description:

Brain network function and dysfunction is the dominant model for understanding how the brain gives rise to normal and abnormal behavior. Moreover, neuropsychiatric illnesses continue to resist attempts to reveal an understanding of their bases. Thus, this timely volume provides a synthesis of the uses of multiple analytic methods as they are applied to neuroimaging data, to seek understanding of the neurobiological bases of psychiatric illnesses, understanding that can subsequently aid in their management and treatment. A principle focus is on the analyses and application of methods to functional magnetic resonance imaging (fMRI) data. fMRI remains the most widely used neuroimaging technique for estimating brain network function, and several of the methods covered can estimate brain network dysfunction in resting and task-active states.

Additional chapters provide details on how these methods are (and can be) applied in the understanding of several neuropsychiatric disorders, including schizophrenia, mood disorders, autism, borderline personality disorder, and attention deficit hyperactivity disorder (ADHD). A final complement of chapters provides a collective overview of how this framework continues to provoke theoretical advances in our conception of the brain in psychiatry. This unique volume is designed to be a comprehensive resource for imaging researchers interested in psychiatry, and for psychiatrists interested in advanced imaging applications.

Contents:

Table of Contents

1. Introduction

By Vaibhav A. Diwadkar & Simon B. Eickhoff, Detroit USA & Juelich Germany

A. Methods

2. fMRI: Blood Oxygen Level Dependent Contrast and Its Value for Understanding Functioning Brain

Networks

By Peter Bandettini, Maryland USA

3. Review of Resting-State Functional Connectivity Methods and Application in Clinical Populations

By Bharat Biswal, New Jersey USA

4. Directed Interregional Brain Interactions

BY Steven Bressler, Boca Raton USA

5. Meta-analytic connectivity modelling (MACM): A tool for assessing regionspecific functional connectivity patterns in task-constrained states

By Robert Langner & Julia A. Camilleri, Dusseldorf Germany

6. dMRI: Diffusion Magnetic Resonance Imaging as a Window onto Structural Brain Networks and

White Matter Microstructure

By Alard Roebroeck, Maastricht Netherlands

7. Data Mining in the Era of Big Data: The BrainMap Database as a Resource for Characterizing

Psychiatric Illness

By Katherine L. Bottenhorn & Angela R. Laird, Miami USA

8. Network modulation in neuropsychiatric disorders using The Virtual Brain

By Andrea B. Protzner, Sora An, & Viktor Jirsa, Calgary Canada & Marseille France

B. Applications

9. Networks-mediated spreading of pathology in neurodegenerative diseases

By Yasser Iturria-Medina & Alan C. Evans, Montreal Canada

10. Resting-State Functional Network Disturbances in Schizophrenia

By Qingbao Yu & Vince D. Calhoun, Albuquerque USA & New Haven USA

11. Disturbed Brain Networks in the Psychosis High-Risk State?

By Andre Schmidt & Stephan Borgwardt, Basel Switzerland

12. Functional Connectivity in Autism Spectrum Disorders: Challenges and Perspectives

By Ralph-Axel Muller & Annika Linke, San Diego USA

13. Functional Resting-State Network Disturbances in Bipolar Disorder

By Gwladys Rey, Camille Piguet, & Patrik Vuilleumier, Geneva Switzerland

14. An overview of resting state functional connectivity studies of major depressive disorder

By Henry Chase, Pittsburgh USA

15. Brain network dysfunction in bipolar disorder: evidence from structural and functional MRI

studies

By Giuseppe Delvecchio, Eleonora Maggioni, Letizia Squarcina, & Paolo Brambilla

Milan Italy

16. Understanding the Network Bases of ADHD: An Overview of the fMRI Evidence

By Samuele Cortese, Southampton UK

17. Cortical-Limbic and Default Mode Networks in Borderline Personality Disorder

By Annegret Krause-Utz & Christian Schmahl, Mannheim Germany

18. Structural and Functional Connectivity Changes Following Cognitive Remediation: A systematic

review

By New Fei Ho, Jordon XJ Tng, June Su Tan, & Kang Sim, Singapore

C. Implications

19. Single-Subject Prediction: A Statistical Paradigm for Precision Psychiatry

Danilo Bzdok & Teresa M. Karrer, Aachen Germany

20. Genetic Imaging: Promises and Pitfalls

Thomas Nickl-Jockschat & Tom Wassink, Iowa City USA

21. Brain networks and the emergence of the Self: A neurophenomenal perspective

Georg Northoff, Ottawa Canada

22. Research Domains and Brain Network Dysfunction: Toward a New Taxonomy of

Neuropsychiatric Illness

Sophia Frangou, New York USA